In this study, we propose to map the latent vectors of StyleGAN[1]} to the scaling factor combinations through solving multivariate linear equations.
The coefficient of the equations is the eigenvectors of the parameters of the pre-trained model of StyleGAN[1]}, which consist of a hyper coordinate system.
The qualitative and quantitative results show that the proposed method outperforms the baseline StyleGAN in terms of image diversity.
In addition, it is much more time-efficient because you can obtain the synthesised images with your desirable features directly from the latent vectors, rather than editing randomly generated images with many complex steps.
